FloydHub (@ycombinator W17) is a zero setup Deep Learning platform for training and deploying AI models.

San Francisco, CA
Joined February 2017
Meet @FloydHub_ - the fastest way to build, train, and deploy AI models. Sign up for free at floydhub.com: youtube.com/watch?v=FcsjqQ2Q…
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We need better #NLP datasets now more than ever!
My latest @FloydHub_ blog is about #nlp datasets and how we measure #DeepLearning model performance. It talks about a great new benchmark by @seb_ruder et al at @GoogleAI called XTREME that will help immensely with this task blog.floydhub.com/nlp-datase…
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FloydHub retweeted
A video dissection of the paper from FAIR on program translation from one language to another in an unsupervised manner: arxiv.org/abs/2006.03511
This model learns, unsupervised, to translate code from Python to C++, including standard library calls and type inference! 👀 Watch this video to find out how! youtu.be/xTzFJIknh7E @MaLachaux @b_roziere @LowikChanussot @GuillaumeLample @facebookai
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FloydHub retweeted
This is the first time in human history @NASA_Astronauts have entered the @Space_Station from a commercially-made spacecraft. @AstroBehnken and @Astro_Doug have finally arrived to the orbiting laboratory in @SpaceX's Dragon Endeavour spacecraft.
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We took on the Cloud Setup Challenge... and we won🏆. Handily, if we do say so ourselves. We took @quaesita handle’s challenge and set up a Jupyter + TensorFlow work station in 44 SECONDS. Think you can beat us? 🔥 Share your results at #cloudchallenge! blog.floydhub.com/cloud-setu…
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FloydHub retweeted
Today, we are officially releasing the cloud-native 🔍neural search framework powered by state-of-the-art AI and deep learning today! It's time to think out of the [Text] box! Unleash your curiosity and find out more by clicking below!👇 github.com/jina-ai/jina
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FloydHub retweeted
After the recent post on text similarity search using pretrained LMs, I received lots of really good questions but one question that was common is when to use which NLP model. Here is another impressive blog post by @cathalhoran on the topic. blog.floydhub.com/when-the-b…
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A new #humansofml interview, featuring @antoniogulli, is live, in which we discuss the role of intuition in data science, the future of cloud platforms, and whether humans actually know what intelligence is with a true pioneer in the field. blog.floydhub.com/talking-ml…
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Many companies struggle to get impact from machine learning projects, so @mikeloukides and I wrote this guide: "What you need to know about product management for AI" oreilly.com/radar/what-you-n…
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There are 1000s of books on machine learning; you could spend a lifetime reading them all. But you don’t have to, because @GGozzoli has listed the 17 best ML books ever published (with a bonus 4 that aren’t out yet but that will be game-changers): blog.floydhub.com/best-machi…
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BONUS ENTRY 4: For readers who want to optimize the human-computer interaction of ML systems: Human-in-the-Loop Machine Learning by @WWRob
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And that, friends, ends this Thread of Threads of the best machine learning & deep learning books. May these 17 recently-published books (+ 4 more that will be released later this year) teach you all you seek to know.
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